<p>The aim of this study is to explore how smart urban tourism—based on the use of artificial intelligence (AI) and cross-sector collaboration—can support the transformation of cities into sustainable tourism destinations. The authors adopt a qualitative research approach, based on two primary methods—literature review and case study analysis. The literature review focused on smart tourism, applications of AI in tourism management and tourist experience, cross-sectoral collaboration in the context of urban tourism policies, sustainable urban development, and tourism destinations (SDG 11,12,13). To illustrate the practical applications of artificial intelligence and cross-sector cooperation, three cities were selected as case studies: Amsterdam (advanced tourism data management and public participation); Barcelona (AI integration in tourism management and public space protection); and Gdansk (development of intelligent information tools and cooperation with universities). The case selection followed a purposive sampling strategy, based on criteria: level of technological advancement, declared sustainability goals, and availability of data. The study shows that effective use of artificial intelligence in urban tourism requires collaborative governance, ethical oversight, and active civic engagement. Key findings highlight the importance of co-governance frameworks (Quadruple Helix), responsible AI deployment, investment in digital skills, and innovation support through Living Labs and targeted funding. Tools such as real-time crowd monitoring, predictive analytics, and participatory platforms can significantly contribute to achieving SDG 11, 12, and 13 in urban tourism strategies. The article formulates recommendations for policymakers and practitioners on the design of collaborative tourism policies and AI models and tools that can be used to implement sustainable urban tourism strategies.</p>